%0 Journal Article
%T METHOD RESEARCH OF FORECASTING OIL AND GAS USING HIGHER-ORDER STATISTICS<br>高阶统计量油气检测方法研究
%A XIONG Xiao-Jun YIN Cheng ZHANG Bai-Lin DING Feng LI Da-Wei Southwest Petroleum Institute
%A Chengdu
%A China
%A <br>熊晓军
%A 尹成
%A 张白林
%A 丁峰
%A 李大卫
%J 地球物理学报
%D 2004
%I 
%X Based on the higher-order statistics property being insensitive to Gaussian noise and containing more information than power spectra, and higher-order spectral attributes of seismic signal, we propose a new approach to forecast oil and gas with the higher-order spectral parameter. The results of the theoretic model and the test on practical data not only prove the geological meaning of higher-order spectra, but also draw a change role of higher-order spectra between water-containing and oil-containing sandstone. It can be used to forecast oil and gas directly. Further more, its prediction results are more effective than that of regular amplitude attributes.
%K Higher-order statistics
%K Higher-order spectrum
%K Seismic attribute<br>高阶统计量
%K 高阶谱
%K 地震属性
%K 高斯噪声
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=1E44AE713D8A6DE0&jid=14DC41C59CBF6770055A7D610D53AE46&aid=BCE3FFDF27E3D534&yid=D0E58B75BFD8E51C&vid=F4B561950EE1D31A&iid=94C357A881DFC066&sid=753F7A67351FADCC&eid=8B6586F75D2B256A&journal_id=0001-5733&journal_name=地球物理学报&referenced_num=14&reference_num=13